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Machine Vision Through Machine Learning (1995)

Defense Technical Information Center · leaf 16

An illustration from Machine Vision Through Machine Learning, 1995, leaf 16
Figure 4: Sample x-ray images of luggage containing blasting caps. Experimental comparisons were made between three learning methods: AQ15c, a symbolic inductive learning system, a feed-forward artificial neural network (ANN), a non-symbolic inductive learning method, and k-nn, a statistical…

Michalski, Ryszard · George mason univ fairfax va · Image processing · Learning machines · Computer vision · Algorithms · Neural nets · Optimization · Systems engineering · Data management · Infrared signatures · Target acquisition · Target recognition · Resolution · Efficiency · Input output processing · Rule based systems · Target discrimination · Synthetic aperture radar · Radar images · Infrared images · Data acquisition · Pattern recognition · Knowledge based systems · Research management · Radar signatures · Visual targets · Image registration · Object oriented programming

Internet Archive · Defense Technical Information Center · Public domain (US government work). Free to use for anything.

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